Earlier this year, we published a blog post sharing details on ThirdEye, LinkedIn’s comprehensive platform for real-time monitoring and root cause analysis. LinkedIn relies on ThirdEye to monitor a wide spectrum of metrics, ranging from product health to high-level business metrics, and also including machine learning model performance. While monitoring is a...
metrics Articles
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- Topics:
- monitoring,
- metrics,
- Pinot
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Co-authors: Burcu Baran, Xiaojing Dong, Chi-Yi Kuan, Emily Huang, and Tiger Zhang At LinkedIn, we have more than 630M members, 30M companies, and 90K schools on our platform. As the largest professional network, LinkedIn transforms companies by changing the way they hire, market, sell, and work. Members use LinkedIn to connect with other professionals, expand...
- Topics:
- data science,
- machine learning,
- metrics,
- events
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At LinkedIn, we have many different monitoring systems—each with its own role and granularity— ranging from quarterly reports about the business as a whole to the lowest levels of system-specific latency and availability. However, these systems don’t operate in vacuums—sometimes, issues or changes that are flagged by one system will go on to cause problems in...
- Topics:
- metrics,
- Pinot,
- real time monitoring
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Co-authors: Ken Soong, Liz Li, Yang Zhou, and Xin Fu Growth hacking is a common buzzword among startups and mature companies alike....
- Topics:
- data science,
- metrics,
- growth
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Almost four years ago, LinkedIn's Site Reliability Engineering (SRE) team began the arduous task of transitioning its metrics...
- Topics:
- scale,
- monitoring,
- metrics,
- SRE
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When I started at LinkedIn a little over a year ago the company had just started their move to the current metrics visualization and...
- Topics:
- monitoring,
- operations,
- devops,
- metrics,
- Kafka,
- SRE